WO2002095650A3 - Determination de cooccurrences d'attributs - Google Patents

Determination de cooccurrences d'attributs Download PDF

Info

Publication number
WO2002095650A3
WO2002095650A3 PCT/CA2002/000731 CA0200731W WO02095650A3 WO 2002095650 A3 WO2002095650 A3 WO 2002095650A3 CA 0200731 W CA0200731 W CA 0200731W WO 02095650 A3 WO02095650 A3 WO 02095650A3
Authority
WO
WIPO (PCT)
Prior art keywords
dose
likelihood
attributes
attribute set
attribute
Prior art date
Application number
PCT/CA2002/000731
Other languages
English (en)
Other versions
WO2002095650A2 (fr
Inventor
Max Kotlyar
Roland Somogyi
James Green
Evan Steeg
Alan D Ableson
Original Assignee
Max Kotlyar
Roland Somogyi
Green James E
Evan Steeg
Alan D Ableson
Molecular Mining Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Max Kotlyar, Roland Somogyi, Green James E, Evan Steeg, Alan D Ableson, Molecular Mining Corp filed Critical Max Kotlyar
Priority to AU2002302243A priority Critical patent/AU2002302243A1/en
Priority to CA002447857A priority patent/CA2447857A1/fr
Priority to US10/478,418 priority patent/US20040158581A1/en
Publication of WO2002095650A2 publication Critical patent/WO2002095650A2/fr
Publication of WO2002095650A3 publication Critical patent/WO2002095650A3/fr

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155Bayesian classification
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Bioethics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • General Engineering & Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Biotechnology (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Complex Calculations (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

L'invention concerne un procédé, un système et un programme informatique destinés à sélectionner des ensembles d'attributs de caractérisation d'un objet, à sélectionner un ensemble d'attributs d'intérêt, à déterminer la probabilité, pour chaque ensemble d'attributs de caractérisation, de voir un ensemble d'attributs intervenir lorsque cet ensemble d'attributs d'intérêt intervient (chaque probabilité étant déterminée au moyen de classificateurs calculables bayésiens sur un ensemble de données d'attributs pour des échantillons actuels), à comparer chaque probabilité déterminée avec des seuils de probabilité, puis à faire rapport des probabilités déterminées de l'ensemble d'attributs de caractérisation sur la base de ces seuils de probabilité. Les attributs de caractérisation peuvent représenter les niveaux d'expression génétique. L'attribut d'intérêt, quant à lui, peut représenter le degré de sensibilité au médicament, la dose médicamenteuse (dose ou concentration absolue par rapport à une dose standard donnée), la dose de médicament impliquant un taux de croissance cellulaire demi-maximal, ou la base logarithmique (dose) avec laquelle la dose permet une accumulation de masse cellulaire totale demi-maximale.
PCT/CA2002/000731 2001-05-21 2002-05-17 Determination de cooccurrences d'attributs WO2002095650A2 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
AU2002302243A AU2002302243A1 (en) 2001-05-21 2002-05-17 Method for determination of co-occurences of attributes
CA002447857A CA2447857A1 (fr) 2001-05-21 2002-05-17 Determination de cooccurrences d'attributs
US10/478,418 US20040158581A1 (en) 2001-05-21 2002-05-17 Method for determination of co-occurences of attributes

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US29193101P 2001-05-21 2001-05-21
US29192801P 2001-05-21 2001-05-21
US60/291,931 2001-05-21
US60/291,928 2001-05-21

Publications (2)

Publication Number Publication Date
WO2002095650A2 WO2002095650A2 (fr) 2002-11-28
WO2002095650A3 true WO2002095650A3 (fr) 2003-10-30

Family

ID=26967058

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CA2002/000731 WO2002095650A2 (fr) 2001-05-21 2002-05-17 Determination de cooccurrences d'attributs

Country Status (4)

Country Link
US (1) US20040158581A1 (fr)
AU (1) AU2002302243A1 (fr)
CA (1) CA2447857A1 (fr)
WO (1) WO2002095650A2 (fr)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2003289263A1 (en) * 2002-12-09 2004-06-30 Ajinomoto Co., Inc. Organism condition information processor, organism condition information processing method, organism condition information managing system, program, and recording medium
JP2007526454A (ja) * 2004-01-28 2007-09-13 アットー バイオサイエンス インコーポレイテッド 補間された画像反応
DE102004027429B4 (de) 2004-06-04 2018-09-13 Siemens Healthcare Diagnostics Gmbh Verfahren zur Anwendung von auf Markerwerten basierenden Dichtekarten bei der Diagnose von Patienten mit Krankheiten insbesondere von Tumoren
JPWO2006098192A1 (ja) * 2005-03-16 2008-08-21 味の素株式会社 生体状態評価装置、生体状態評価方法、生体状態評価システム、生体状態評価プログラム、評価関数作成装置、評価関数作成方法、評価関数作成プログラムおよび記録媒体
DE102007005070B4 (de) 2007-02-01 2010-05-27 Klippel, Wolfgang, Dr. Anordnung und Verfahren zur optimalen Schätzung der linearen Parameter und der nichtlinearen Parameter eines Modells, das einen Wandler beschreibt
US20080228700A1 (en) 2007-03-16 2008-09-18 Expanse Networks, Inc. Attribute Combination Discovery
US20090043752A1 (en) 2007-08-08 2009-02-12 Expanse Networks, Inc. Predicting Side Effect Attributes
US7917438B2 (en) * 2008-09-10 2011-03-29 Expanse Networks, Inc. System for secure mobile healthcare selection
US20100070292A1 (en) * 2008-09-10 2010-03-18 Expanse Networks, Inc. Masked Data Transaction Database
US8200509B2 (en) 2008-09-10 2012-06-12 Expanse Networks, Inc. Masked data record access
US20100076988A1 (en) * 2008-09-10 2010-03-25 Expanse Networks, Inc. Masked Data Service Profiling
US20100063830A1 (en) * 2008-09-10 2010-03-11 Expanse Networks, Inc. Masked Data Provider Selection
US20100063865A1 (en) * 2008-09-10 2010-03-11 Expanse Networks, Inc. Masked Data Provider Profiling
US20100076950A1 (en) * 2008-09-10 2010-03-25 Expanse Networks, Inc. Masked Data Service Selection
US20100063835A1 (en) * 2008-09-10 2010-03-11 Expanse Networks, Inc. Method for Secure Mobile Healthcare Selection
US8386519B2 (en) 2008-12-30 2013-02-26 Expanse Networks, Inc. Pangenetic web item recommendation system
US20100169313A1 (en) * 2008-12-30 2010-07-01 Expanse Networks, Inc. Pangenetic Web Item Feedback System
US8108406B2 (en) 2008-12-30 2012-01-31 Expanse Networks, Inc. Pangenetic web user behavior prediction system
US8463554B2 (en) 2008-12-31 2013-06-11 23Andme, Inc. Finding relatives in a database
US8103672B2 (en) * 2009-05-20 2012-01-24 Detectent, Inc. Apparatus, system, and method for determining a partial class membership of a data record in a class
US10192639B2 (en) 2014-08-22 2019-01-29 Drfirst.Com, Inc. Method and system for medical suggestion search
CA3012605A1 (fr) * 2015-02-03 2016-08-11 David Andrew Sellars Procede et systeme de recherche de suggestion medicale
US10546654B2 (en) 2015-12-17 2020-01-28 Drfirst.Com, Inc. Method and system for intelligent completion of medical record based on big data analytics

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5787279A (en) * 1995-12-22 1998-07-28 International Business Machines Corporation System and method for conformationally-flexible molecular recognition
US6044366A (en) * 1998-03-16 2000-03-28 Microsoft Corporation Use of the UNPIVOT relational operator in the efficient gathering of sufficient statistics for data mining
US6134555A (en) * 1997-03-10 2000-10-17 International Business Machines Corporation Dimension reduction using association rules for data mining application
WO2000072268A1 (fr) * 1999-05-24 2000-11-30 University Of Massachusetts Representation basee sur la performance aidant les decisions multiples
WO2001022265A2 (fr) * 1999-09-22 2001-03-29 Microsoft Corporation Extraction de donnees servant a la gestion de ressources de commercialisation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6223186B1 (en) * 1998-05-04 2001-04-24 Incyte Pharmaceuticals, Inc. System and method for a precompiled database for biomolecular sequence information

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5787279A (en) * 1995-12-22 1998-07-28 International Business Machines Corporation System and method for conformationally-flexible molecular recognition
US6134555A (en) * 1997-03-10 2000-10-17 International Business Machines Corporation Dimension reduction using association rules for data mining application
US6044366A (en) * 1998-03-16 2000-03-28 Microsoft Corporation Use of the UNPIVOT relational operator in the efficient gathering of sufficient statistics for data mining
WO2000072268A1 (fr) * 1999-05-24 2000-11-30 University Of Massachusetts Representation basee sur la performance aidant les decisions multiples
WO2001022265A2 (fr) * 1999-09-22 2001-03-29 Microsoft Corporation Extraction de donnees servant a la gestion de ressources de commercialisation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MYLLYMAKI P ET AL: "Learning in neural networks with Bayesian prototypes", SOUTHCON /94. CONFERENCE RECORD. ORLANDO, MAR. 29 - 31, 1994, NEW YORK, IEEE, US, 29 March 1994 (1994-03-29), pages 60 - 64, XP010158039, ISBN: 0-7803-9989-7 *

Also Published As

Publication number Publication date
US20040158581A1 (en) 2004-08-12
AU2002302243A1 (en) 2002-12-03
CA2447857A1 (fr) 2002-11-28
WO2002095650A2 (fr) 2002-11-28

Similar Documents

Publication Publication Date Title
WO2002095650A3 (fr) Determination de cooccurrences d'attributs
Liu et al. A finite mixture model for characterizing the diameter distributions of mixed-species forest stands
Stoffel et al. inbreedR: an R package for the analysis of inbreeding based on genetic markers
Mills et al. Estimating animal abundance using noninvasive DNA sampling: promise and pitfalls
Zhao et al. Molecular subtyping for clinically defined breast cancer subgroups
Kleindorfer et al. Species collapse via hybridization in Darwin’s tree finches
Müller et al. Statistical selection of relevant subspace projections for outlier ranking
Scarsbrook Persistence and stability of lotic invertebrate communities in New Zealand
Templeton et al. The transition from isolated patches to a metapopulation in the eastern collared lizard in response to prescribed fires
Tobler et al. Populations of a susceptible amphibian species can grow despite the presence of a pathogenic chytrid fungus
Baker et al. How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through
EP1172737A3 (fr) Système et méthode d'analyse statistique de hiérarchies
Mooney et al. Fitting mixtures of von Mises distributions: a case study involving sudden infant death syndrome
Signorile et al. Do founder size, genetic diversity and structure influence rates of expansion of North American grey squirrels in Europe?
Leblois et al. Absence of evidence for isolation by distance in an expanding cane toad (Bufo marinus) population: an individual‐based analysis of microsatellite genotypes
RU2008147223A (ru) Способ и устройство для определения болезненного состояния с помощью биомаркеров
WO2006059250A3 (fr) Systemes et procedes d'indexation d'unite centrale en temps mort
WO2004044781A3 (fr) Techniques pour gerer plusieurs hierarchies de donnees a partir d'une interface unique
EP1933281A3 (fr) Procédé de gestion de système d'authentification
Novak et al. Determining sex of the posterior ilium from the Robert J. Terry and William M. Bass collections
Todd et al. Variation in the post‐smolt growth pattern of wild one sea‐winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern N orth A tlantic O cean
Viana et al. Ecological traits underlying interspecific variation in climate matching of birds
Strebel et al. Spatiotemporal modelling of abundance from multiple data sources in an integrated spatial distribution model
Suwa et al. Canine sexual dimorphism in Ardipithecus ramidus was nearly human-like
DeSaix et al. Low‐coverage whole genome sequencing for highly accurate population assignment: Mapping migratory connectivity in the American Redstart (Setophaga ruticilla)

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ OM PH PL PT RO RU SD SE SG SI SK SL TJ TM TN TR TT TZ UA UG US UZ VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 2447857

Country of ref document: CA

WWE Wipo information: entry into national phase

Ref document number: 10478418

Country of ref document: US

REG Reference to national code

Ref country code: DE

Ref legal event code: 8642

122 Ep: pct application non-entry in european phase
NENP Non-entry into the national phase

Ref country code: JP

WWW Wipo information: withdrawn in national office

Country of ref document: JP